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There is evidence supporting the fact the fact that the Superbowl is less predictable. I used a linear regression model, but I wouldn't mind knowing which models I should use under which circumstances. Solution attached,

Standard predictive analysis here. While I'd love to be snarky and claim that I only used offensive stats because the Pats have no defense, the real reason is in the p-values. They were statistically significant.

I explored whether removing some "outlier" games had any impact - and they resulted in worse p-values, so I went with all of the data excepting the superbowl games for modelling.

I used the Association analysis tool to select 3 predictor variables.Based in the difference between :- The predicted scored points VS actual points in regular season matches- The predicted scored points VS actual points in Super Bowl matches

I found that the predictions were pretty accurate for regular matches but not for Super Bowl ones, I guess it is because of the whole motivation and adrenaline levels behind those special games !

Workflow (#103)

I used the Association analysis tool to select 3 predictor variables.Based in the difference between :- The predicted scored points VS actual points in regular season matches- The predicted scored points VS actual points in Super Bowl matchesI found that the predictions were pretty accurate for regular matches but not for Super Bowl ones, I guess it is because of the whole motivation and adrenaline levels behind those special games !Workflow (#103)